Steepest Descent Algorithm For Block Wavelet Transform Filter Coefficients That Generate Orthogonal Transform Matrix


DOĞAN M., Gerek O. N.

IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Turkey, 20 - 22 April 2008, pp.296-299 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2008.4632610
  • City: Aydın
  • Country: Turkey
  • Page Numbers: pp.296-299
  • Anadolu University Affiliated: Yes

Abstract

It's known that the transform matrix generated by Block Wavelet Transform (BWT) is orthogonal. Eigenvector matrix of the autocorrelation matrix obtained in Karhunen-Loeve transform is also orthogonal. This matrix is used for computing the features of signals. It's thought that BWT can be used in the same manner. A BWT obtained by finite number of filter coefficients will be advantegous. In this paper, a method for the computation of BWT filter coefficients by Steepest Descent algorithm will be proposed.